SamuelGong / Pisces
[ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training
☆12Updated last week
Alternatives and similar repositories for Pisces:
Users that are interested in Pisces are comparing it to the libraries listed below
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆25Updated 2 years ago
- ☆45Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆126Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- A project for simulation of Asynchronous Federated Learning☆22Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆24Updated last week
- Resource Efficient Federated Learning☆23Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 8 months ago
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆17Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆86Updated 2 years ago
- ☆29Updated 4 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆42Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 2 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆24Updated 2 years ago
- demo☆19Updated 3 years ago
- ☆23Updated 4 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- ☆19Updated 3 years ago